- Published
- 2023-02-10
- Venue
- Resources Policy, vol. 81, pp. 103375
- Cited by
- 414
- Open access
- No free copy found
- DOI
- 10.1016/j.resourpol.2023.103375
Cite this paper
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- APA 7
Liu, F., Umair, M., & Gao, J. (2023). Assessing oil price volatility co-movement with stock market volatility through quantile regression approach. Resources Policy, 81, 103375. https://doi.org/10.1016/j.resourpol.2023.103375
- MLA 9
Liu, Fang, et al. "Assessing oil price volatility co-movement with stock market volatility through quantile regression approach." Resources Policy, vol. 81, 2023, pp. 103375, https://doi.org/10.1016/j.resourpol.2023.103375.
- Chicago
Liu, Fang, Muhammad Umair, and Junjun Gao. "Assessing oil price volatility co-movement with stock market volatility through quantile regression approach." Resources Policy 81 (2023): 103375. https://doi.org/10.1016/j.resourpol.2023.103375.
- GOST
Liu F., Umair M., Gao J. Assessing oil price volatility co-movement with stock market volatility through quantile regression approach // Resources Policy. — 2023. — Vol. 81. — P. 103375. — URL: https://doi.org/10.1016/j.resourpol.2023.103375
- BibTeX
@article{liu2023assessing, title = {{Assessing oil price volatility co-movement with stock market volatility through quantile regression approach}}, author = {Fang Liu and Muhammad Umair and Junjun Gao}, journal = {Resources Policy}, year = {2023}, volume = {81}, pages = {103375}, doi = {10.1016/j.resourpol.2023.103375}, url = {https://doi.org/10.1016/j.resourpol.2023.103375} }- RIS
TY - JOUR AU - Liu, Fang AU - Umair, Muhammad AU - Gao, Junjun TI - Assessing oil price volatility co-movement with stock market volatility through quantile regression approach JO - Resources Policy VL - 81 SP - 103375 PY - 2023 DA - 2023/02/10 DO - 10.1016/j.resourpol.2023.103375 UR - https://doi.org/10.1016/j.resourpol.2023.103375 ER -
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